125 citations · 240 across the 6 of their papers we have counts for
Showing stat.COShow all
3 papers · 1 filter
stat.CO2016★ 1 cited
Reliability analysis of high-dimensional models using low-rank tensor approximations
K. Konakli, B. Sudret
Engineering and applied sciences use models of increasing complexity to simulate the behaviour of manufactured and physical systems. Propagation of uncertainties from the input to…
stat.CO2016
Global sensitivity analysis using low-rank tensor approximations
K. Konakli, B. Sudret
In the context of global sensitivity analysis, the Sobol' indices constitute a powerful tool for assessing the relative significance of the uncertain input parameters of a model. W…
stat.CO2015★ 97 cited
Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model
G. Deman, K. Konakli, B. Sudret +3
The study makes use of polynomial chaos expansions to compute Sobol' indices within the frame of a global sensitivity analysis of hydro-dispersive parameters in a simplified vertic…